A noncontact-sensor surveillance system towards assisting independent living for older people

Wang, Yan, Cang, Shuang and Yu, Hongnian (2017) A noncontact-sensor surveillance system towards assisting independent living for older people. In: ICAC 2017 - 23rd IEEE International Conference on Automation and Computing, 7th - 8th September 2017, Huddersfield, UK.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.23919/IConAC.2017.8082002

Abstract

In this paper, we propose a framework which provides the temporal and spatial context for daily routine inferring in an ambient-assisted-living environment equipped with several sets of passive infrared (PIR) sensors. The inferred information could help identify the user's daily pattern and abnormalities from long-term monitoring. We implemented the prototype of the system from the electric parts and software parts. The effectiveness of the proposed framework is reflected by the initial results over one day's continuous monitoring of two individual older participants. The framework could satisfy the basic needs of older people who seek an unobtrusive and practical way to assist their daily life. The extended system can be expected to combine with wearable sensors to meet different applications.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: ambient-assisted living, passive infrared sensors, daily pattern, unobtrusiveness
Subjects: B800 Medical Technology
G400 Computer Science
Department: Faculties > Business and Law > Newcastle Business School
Depositing User: Paul Burns
Date Deposited: 29 Nov 2018 16:47
Last Modified: 19 Nov 2019 09:47
URI: http://nrl.northumbria.ac.uk/id/eprint/36976

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics